Evidence map›Paper›PMID 34408621›Full record

ArticleFrontiers in neuroscience2021

Validating Patient-Specific Finite Element Models of Direct Electrocortical Stimulation.

Chantel M Charlebois, David J Caldwell, Sumientra M Rampersad, Andrew P Janson, Jeffrey G Ojemann, Dana H Brooks, Rob S MacLeod, Christopher R Butson, Alan D Dorval

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Chantel M CharleboisDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
David J CaldwellDepartment of Bioengineering, University of Washington, Seattle, WA, United States.
Sumientra M RampersadDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Andrew P JansonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Jeffrey G OjemannDepartment of Neurological Surgery, University of Washington, Seattle, WA, United States.
Dana H BrooksDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Rob S MacLeodDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Christopher R ButsonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Alan D DorvalDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
University of Utah · USNortheastern University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct electrocortical stimulation (DECS) with electrocorticography electrodes is an established therapy for epilepsy and an emerging application for stroke rehabilitation and brain-computer interfaces. However, the electrophysiological mechanisms that result in a therapeutic effect remain unclear. Patient-specific computational models are promising tools to predict the voltages in the brain and better understand the neural and clinical response to DECS, but the accuracy of such models has not been directly validated in humans. A key hurdle to modeling DECS is accurately locating the electrodes on the cortical surface due to brain shift after electrode implantation. Despite the inherent uncertainty introduced by brain shift, the effects of electrode localization parameters have not been investigated. The goal of this study was to validate patient-specific computational models of DECS against

Indexed as

bioelectricity simulationdirect electrocortical stimulationelectrocorticographyfinite element modelingpatient-specific modeling

Identifiers

PMID34408621
PMCPMC8365306
OpenAlexW3192845429

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.